Uncertain Knowledge Graph Embedding Using Auxiliary Information

Uncertain Knowledge Graph Embedding Using Auxiliary Information

Uncertain knowledge graphs (UKGs) offer a more realistic representation of knowledge by capturing the uncertainty associated with facts. However, existing UKG embedding methods primarily rely on structural information for confidence score prediction, neglecting other sources of uncertainty. This pap...

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Bibliographic Details
Main Authors: Adil Bahaj, Mounir Ghogho
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Uncertain knowledge graphs
knowledge graph embedding
box embedding
confidence prediction
Online Access:https://ieeexplore.ieee.org/document/10623627/

Internet

https://ieeexplore.ieee.org/document/10623627/

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